Improving RNA secondary structure prediction using direct coupling analysis

作     者：Xiaoling He Jun Wang Jian Wang Yi Xiao 何小玲;王军;王剑;肖奕

作者机构：School of PhysicsHuazhong University of Science and TechnologyWuhan 430074China 

出 版 物：《Chinese Physics B》 (中国物理B（英文版）)

年 卷 期：2020年第29卷第7期

页      面：104-110页

核心收录：

学科分类：0710[理学-生物学] 071010[理学-生物化学与分子生物学] 081704[工学-应用化学] 07[理学] 08[工学] 0817[工学-化学工程与技术] 0805[工学-材料科学与工程（可授工学、理学学位）] 0704[理学-天文学] 

基　　金：Project supported by the National Natural Science Foundation of China(Grant No.31570722) 

主　　题：RNA secondary structure structure prediction direct coupling analysis 

摘      要：Secondary structures of RNAs are the basis of understanding their tertiary structures and functions and so their predictions are widely needed due to increasing discovery of noncoding *** the last decades,a lot of methods have been proposed to predict RNA secondary structures but their accuracies encountered *** we present a method for RNA secondary structure prediction using direct coupling analysis and a remove-and-expand algorithm that shows better performance than four existing popular multiple-sequence *** further show that the results can also be used to improve the prediction accuracy of the single-sequence methods.